Functions and Data Sets for "That's Weird: Anomaly Detection Using R" by Rob J Hyndman


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Documentation for package ‘weird’ version 1.0.2

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as_kde Convert data frame or matrix object to kde class
autoplot.kde Produce ggplot of densities in 1 or 2 dimensions
chauvenet_anomalies Anomalies according to Peirce's and Chauvenet's criteria
cricket_batting Cricket batting data for international test players
density_scores Density scores
density_scores.default Density scores
density_scores.gam Density scores
density_scores.kde Density scores
density_scores.lm Density scores
dixon_anomalies Statistical tests for anomalies using Grubbs' test and Dixon's test
fetch_wine_reviews Wine prices and points
gg_bagplot Bagplot
gg_hdrboxplot HDR plot
glosh_scores GLOSH scores
grubbs_anomalies Statistical tests for anomalies using Grubbs' test and Dixon's test
hdr_palette Color palette designed for plotting Highest Density Regions
hdr_table Table of Highest Density Regions
kde_bandwidth Robust bandwidth estimation for kernel density estimation
lof_scores Local outlier factors
lookout Lookout probabilities
mvscale Compute robust multivariate scaled data
n01 Multivariate standard normal data
oldfaithful Old faithful eruption data
peirce_anomalies Anomalies according to Peirce's and Chauvenet's criteria
stray_anomalies Stray anomalies
stray_scores Stray scores
weird_conflicts Conflicts between weird packages and other packages
weird_packages List all packages loaded by weird
wine_reviews Wine prices and points